I tried to find information in documentation:
https://learning.rasa.com/conversational-ai-with-rasa/entities/
and in here
https://rasa.com/docs/rasa/nlu-training-data/#lookup-tables

but I can not seam to find end to end implementation

I created txt with colors in my project, in my config I wrote:

  lookup_tables:
    colors:
      elements: "colors.txt"

in my nlu.yml:

- intent: what_colors
  examples: |
      - Do you like [red](colors)
      - I like [blue](colors)?
      - I love [green](colors)

in my stories.yml:

- story: what colors do you like
  steps:
  - intent: greet
  - action: utter_greet
  - intent: what_colors
  - action: action_colors

I also have actions.py:

class ActionColors(Action):

    def name(self) -> Text:
        return "action_colors"

    def run(self, dispatcher: CollectingDispatcher,
            tracker: Tracker,
            domain: Dict[Text, Any]) -> List[Dict[Text, Any]]:

        color = next(tracker.get_latest_entity_values("color"), None)

        colors_names = np.loadtxt('colors.txt')

        if color  in colors_names:
            dispatcher.utter_message(text="You choose: " + color + ".")
        else:
            dispatcher.utter_message(text=f"There is no color like: {color} in colors file.")

        return []

in my domain I have:

entities:
 - colors

and when I train, run rasa actions and rasa shell, I ask “Do you like red?” I only gets fallback response, what did I do wrong? where in documentation can I find full path to implement “lookup tables”?